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February 28, 2026Water Practice & Technology0 citationsOpen Access

Predictive modeling and optimization of tetracycline adsorption by activated carbon: a comparative study using Akaike and Bayesian methods

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HAHosseinali AsgharniaMHMahdieh HaddadiFAFatemeh Aligholizadeh

Key Points

  • The research aims to assess the performance of low-cost activated carbon in removing tetracycline from water.
  • Synthesis of activated carbon from beech wood residues using phosphoric acid activation.
  • Investigation of operational parameters affecting adsorption: pH, contact time, dosage, initial concentration, and temperature.
  • Application of Akaike and Bayesian methods for statistical model selection.
  • Comparison of isotherm models to determine adsorption capacity.
  • Activated carbon exhibited a high specific surface area of 867.3 m2 g−1.
  • Optimal adsorbent dosage for tetracycline uptake was identified as 1–1.5 g L−1.
  • Langmuir isotherm model best represented the equilibrium data with a maximum adsorption capacity of 219.9 mg g−1.
  • Adsorption process confirmed to be spontaneous, endothermic, and entropy-driven.

Abstract

ABSTRACT This study reports the preparation and application of a low-cost activated carbon produced from beech wood residues (BW-AC) via phosphoric acid activation. The adsorbent possessed a mesoporous-dominated, amorphous structure with a high specific surface area of 867.3 m2 g−1. The efficacy of BW-AC was evaluated for tetracycline (TC) removal from aqueous solutions. The effects of key operational parameters, including pH, contact time, adsorbent dosage, initial TC concentration, and temperature, were systematically investigated. TC adsorption was largely pH independent, whereas increasing the adsorbent dosage improved TC uptake, with an optimal range of 1–1.5 g L−1. Robust statistical model selection using the corrected Akaike information criterion (AICc) and Bayesian information criterion (BIC) identified the general-order kinetic model as the best fit, with AICc and BIC values of –38.43 and –41.18, respectively. Among the isotherm models, the Langmuir model provided the best representation of equilibrium data, yielding AICc and BIC values of 73.61 and 72.64, respectively, and a maximum adsorption capacity (Qmax) of 219.9 mg g−1 at 20 °C. Thermodynamic analysis confirmed a spontaneous, endothermic, and entropy-driven adsorption process. These findings collectively demonstrate that BW-AC is an efficient, sustainable, and cost-effective adsorbent for the removal of TC from contaminated water.

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Cite This Study

Asgharnia et al. (2026) studied this question.

synapsesocial.com/papers/69a288590a974eb0d3c042c5https://doi.org/10.2166/wpt.2026.222
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